Willis Towers Watson (WTW) has detailed its artificial intelligence strategy following its acquisition of Newfront, positioning AI as a long-term driver of growth, efficiency, and competitive advantage rather than a tool for simple cost reduction.

Speaking during the company’s Q1 2026 earnings call, CEO Carl Hess emphasized that clients increasingly expect a combination of technology and human expertise:
“Clients are not choosing between human expertise or technology. They expect both.”

WTW highlighted its structural advantages in deploying AI at scale, including proprietary data, global reach, and integrated advisory and broking capabilities across its Health, Wealth and Career and Risk and Broking segments.

Management outlined several key themes underpinning its strategy. The firm operates in complex, mission-critical areas where the cost of poor decisions outweighs the benefits of automation alone. AI is seen as a tool to enhance efficiency, but not replace trust, judgment, or advocacy—particularly in areas such as claims handling and carrier negotiations. At the same time, WTW believes its scale, long-standing client relationships, and data assets create barriers that are difficult for competitors to replicate. The company also noted that AI is expanding demand in areas like analytics and cyber risk, increasing the need for sophisticated insurance solutions.

WTW is already embedding AI across multiple parts of the business. In Risk & Broking, it is rolling out Neuron, an AI-powered operating system that integrates risk and analytics tools into a single platform. The system is currently live in cyber in North America and UK property, with broader deployment planned through 2026.

Within its Health, Wealth and Career division, Rewards AI—focused on compensation benchmarking using generative AI—now supports more than 2,500 users. The company is also leveraging Newfront’s technology suite, including tools such as Coverage Gap Analysis, Navigator, and Partner Management.

Chief AI Officer Spike Lipkin said:
“AI is most effective when supplied with a vast amount of proprietary data, which WTW has.”

Early results suggest tangible productivity gains. The firm’s Call Note Assist tool has processed more than 1.6 million calls since July 2025, reducing post-call workloads by 33%, while endorsement processing times have dropped by 90%.

Looking ahead, WTW plans to scale Newfront’s agentic AI capabilities across the organisation and deepen adoption among employees, creating a compounding effect as usage grows and models improve.

CFO Andrew Krasner underscored the long-term focus on competitive positioning rather than immediate margin expansion:
“The most durable benefit isn’t cost reduction… it’s the advantage of combining proprietary data and an AI-fluent workforce… hard to replicate.”

He added that some efficiency gains will be reinvested into the business, reinforcing WTW’s view that AI is a strategic enabler of growth and differentiation rather than simply a cost-cutting tool.